POURSUITE

说明：  用于求解信号子空间与阵列流型的拟合问题，即信号子空间的拟合与噪声子空间的拟合。(Used to solve the signal subspace and array manifold type of fitting that the signal subspace fitting and subspace fitting.)

使用最小二乘法对任意位置的椭圆进行数据拟合的程序，使用全部的边缘点集。(Anywhere using the least squares method for data fitting ellipse, the use of all of the edge point set.)

K-SVD算法训练字典的源码，可以直接调用，也可以修改迭代次数等参数。(K-SVD algorithm to train the dictionary source, can be called directly, or you can modify parameters such as the number of iterations.)

针对线性混合信号盲分离时，源信号概率密度与激活函数难以确定时（尤其是源信号中既含超高斯信号，又含亚高斯信号时），依据信号pdf的一种测度--峭度，自适应的确定激活函数，实现信号的盲分离，是一种基于峭度开关的盲分离算法。(Linear mixed-signal for blind source separation, the source signal probability density function with the activation when it is difficult to determine (especially the source of the signal with both super-Gaussian signals, but also with sub-Gaussian signal), signal pdf based on a measure-- Kurtosis, adaptive activation function of determining and achieving blind signal separation, is a switch-based kurtosis blind source separation algorithm.)

回归分析的好东西spss09回归分析 (Regression analysis regression analysis of the good things spss09 )

说明：  对图像进行niblack二值化，用的是niblak算法，是最基本的niblack(Niblack the image binarization, using a niblak algorithm is the most basic niblack)

了解目前指紋使用環境, 使用功能,以及未來的發展(Understand the current fingerprint with the environment, function, and future development)

ELM超限学习机的拓展应用，多层感知机，可用于特征提取( Expand the application ELM overrun learning machine, MLP can be used for feature extraction)

Gray Level Image Denoising , you can choose any image. it will gives good result,, ieee 2009 solved papers.

This is the demo file for Rhors counter example: adaptive control for system with unmodeled dynamics, which show the lack of robustness of the traditional MRAC. DoSims.m: This script initializes the model parameters, run the simulation, and plot all the results automatically. L1Model_Rohrs.mdl:the implementation of L1 adaptive controller. MracModel_Rohrs.mdl: the implementation of the traditional MRAC. Refer to the following papers for background: C.E. Rohrs, L. Valavani, M. Athans, and G. Stein, "Stability Problems of Adaptive Control Algorithms in the Pressence of Unmodeled Dynamics", 21st Conference on Decision and Control, Dec 1982. Enric Xargay, Naira Hovakimyan and Chengyu Cao, "Benchmark Problems of Adaptive Control Revisited by L1 Adaptive Control", International Symposium on Intelligent Control and 17th Mediterranean Conference on Control and Automation, Thessaloniki, Greece, June 24-26, 2009, pp. 31-36.